Intern Volunteer Data Analyst information
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$12.02 - $14.75
7% of jobs
$17.44 is the 25th percentile. Wages below this are outliers.
$14.75 - $17.48
18% of jobs
$17.48 - $20.21
22% of jobs
The median wage is $20.64 / hr.
$20.21 - $22.95
17% of jobs
$24.59 is the 75th percentile. Wages above this are outliers.
$22.95 - $25.68
18% of jobs
$25.68 - $28.41
8% of jobs
$28.41 - $31.14
5% of jobs
$31.14 - $33.87
1% of jobs
$33.87 - $36.60
0% of jobs
$36.60 - $39.34
2% of jobs
$39.34 - $42.07
1% of jobs
How much do intern volunteer data analyst jobs pay per hour?
As of Aug 14, 2026, the average hourly pay for intern volunteer data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.
An Intern Volunteer Data Analyst assists organizations by collecting, analyzing, and interpreting data to help inform decisions and measure outcomes. Their tasks often include cleaning datasets, creating visualizations, and generating reports under the supervision of senior analysts. This role provides valuable hands-on experience in data analysis tools and methodologies, and is often unpaid or part-time. It is ideal for students or recent graduates looking to build practical skills and contribute to meaningful projects.
To thrive as an Intern Volunteer Data Analyst, you need foundational knowledge in statistics, data analysis, and proficiency with spreadsheets, usually supported by coursework in data science or a related field. Familiarity with data analysis tools such as Excel, Python, R, and basic database systems like SQL is often required. Strong analytical thinking, attention to detail, and effective communication are important soft skills for this position. These skills ensure accurate data insights, clear reporting, and valuable contributions to organizational decision-making.
As an Intern Volunteer Data Analyst, you can expect to work on projects that support the organization's mission, often involving real-world datasets such as survey responses, program impact statistics, or donor engagement metrics. Typical responsibilities include cleaning and organizing data, creating visualizations, and performing basic statistical analyses to uncover trends and insights. You’ll often collaborate with program managers and senior analysts to translate findings into actionable recommendations. This role is a great opportunity to develop practical skills and gain exposure to data-driven decision-making in a collaborative, mission-driven environment.
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